Kollmorgen has launched a brand new software program instrument designed to assist corporations plan and optimize the motion of automated automobiles and cellular robots inside factories and warehouses.
Known as the NDC Format Assistant, the instrument is aimed toward enhancing how routes are designed for automated guided automobiles and autonomous cellular robots. (NDC stands for Navigation and Driving Management.)
These machines sometimes transfer supplies round amenities akin to distribution facilities, factories, and logistics hubs.
The corporate says many organizations wrestle to know how properly their layouts will carry out till late within the course of, usually resulting in time-consuming changes.
The brand new instrument is designed to supply early perception into potential issues, permitting engineers to determine bottlenecks and inefficiencies earlier than methods are deployed.
In response to Kollmorgen, the software program analyzes routes in smaller sections, making it simpler to see precisely the place delays or gradual motion could happen.
It highlights the areas with the best potential for enchancment, serving to customers focus their efforts the place it issues most.
For every part of a route, the system supplies key knowledge akin to journey time, automobile velocity, and a sign of how a lot that part could possibly be optimized. Visible cues are used to flag underperforming areas, making the evaluation simpler to interpret.
The corporate says this strategy can cut back the necessity for repeated testing and changes, shortening the time required to design and validate layouts. It additionally permits groups to prioritize enhancements and talk outcomes extra clearly.
Kollmorgen positions the NDC Format Assistant as a part of its broader software program platform for managing fleets of automated automobiles, which is used to coordinate routes and management navigation throughout industrial environments.
The corporate provides that the instrument may additionally kind the premise for extra superior, AI-driven optimization sooner or later, as automation methods turn into extra complicated and data-driven.
